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Phylogenetic Comparative Methods and Machine Learning To bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435939; this version posted March 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Somewhere I Belong: Phylogenetic Comparative Methods and Machine Learning to 2 Investigate the Evolution of a Species-Rich Lineage of Parasites. 3 Armando J. Cruz-Laufer1, Antoine Pariselle2,3, Michiel W. P. Jorissen1,4, Fidel Muterezi 4 Bukinga5, Anwar Al Assadi6, Maarten Van Steenberge7,8, Stephan Koblmüller9, Christian 5 Sturmbauer9, Karen Smeets1, Tine Huyse4,7, Tom Artois1, Maarten P. M. Vanhove1,7,10 6 7 1 UHasselt – Hasselt University, Faculty of Sciences, Centre for Environmental Sciences, 8 Research Group Zoology: Biodiversity and Toxicology, Agoralaan Gebouw D, 3590 9 Diepenbeek, Belgium. 10 2 ISEM, Université de Montpellier, CNRS, IRD, Montpellier, France. 11 3 Faculty of Sciences, Laboratory “Biodiversity, Ecology and Genome”, Research Centre 12 “Plant and Microbial Biotechnology, Biodiversity and Environment”, Mohammed V 13 University, Rabat, Morocco. 14 4 Department of Biology, Royal Museum for Central Africa, Tervuren, Belgium. 15 5 Section de Parasitologie, Département de Biologie, Centre de Recherche en Hydrobiologie, 16 Uvira, Democratic Republic of the Congo. 17 6 Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Nobelstraße 12, 18 70569 Stuttgart, Germany. 19 7 Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Charles 20 Deberiotstraat 32, B-3000, Leuven, Belgium. 21 8 Operational Directorate Taxonomy and Phylogeny, Royal Belgian Institute of Natural 22 Sciences, Vautierstraat 29, B-1000 Brussels, Belgium. \ 23 9 Institute of Biology, University of Graz, Universitätsplatz 2, 8010, Graz, Austria. \ bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435939; this version posted March 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Cruz-Laufer AJ, Pariselle A, Jorissen MWP, Muterezi Bukinga F, Al Assadi A, Van Steeberge M, Koblmüller S, Sturmbauer C, Huyse T, Smeets K, Artois T, Vanhove MPM 24 10 Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlářská 2, 25 CZ-611 37, Brno, Czech Republic. 26 27 Corresponding author: Armando J. Cruz-Laufer, [email protected] 28 29 ABSTRACT 30 Metazoan parasites encompass a significant portion of the global biodiversity. Their 31 relevance for environmental and human health calls for a better understanding as parasite 32 macroevolution remains mostly understudied. Yet limited molecular, phenotypic, and 33 ecological data have so far discouraged complex analyses of evolutionary mechanisms and 34 encouraged the use of data discretisation and body-size correction. In this case study, we aim 35 to highlight the limitations of these methods and propose new methods optimised for small 36 datasets. We apply multivariate phylogenetic comparative methods (PCMs) and statistical 37 classification using support vector machines (SVMs) to a data-deficient host-parasite system. 38 We use continuous morphometric and host range data currently widely inferred from a 39 species-rich lineage of parasites (Cichlidogyrus incl. Scutogyrus - Platyhelminthes: 40 Monogenea, Dactylogyridae) infecting cichlid fishes. For PCMs, we modelled the attachment 41 organ and host range evolution using the data of 135 species and an updated multi-marker 42 (28S and 18S rDNA, ITS1, COI mtDNA) phylogenetic reconstruction of 58/137 described 43 species. Through a cluster analysis, SVM-based classification, and taxonomic literature 44 survey, we infered the systematic informativeness of discretised and continuous characters. 45 We demonstrate that an update to character coding and size-correction techniques is required 46 as some techniques mask phylogenetic signals but remain useful for characterising species bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435939; this version posted March 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. EVOLUTION OF A SPECIES-RICH LINEAGE OF PARASITES 47 groups of Cichlidogyrus. Regarding the attachment organ evolution, PCMs suggest a pattern 48 associated with genetic drift. Yet host and environmental parameters might put this structure 49 under stabilising selection as indicated by a limited morphological variation. This 50 contradiction, the absence of a phylogenetic signal and multicollinearity in most 51 measurements, a moderate 73% accordance rate of taxonomic approach and SVMs, and a low 52 phylogenetic informativeness of reproductive organ data suggest an overall limited 53 systematic value of the measurements included in most species characterisations. We 54 conclude that PCMs and SVM-based approaches are suitable tools to investigate the character 55 evolution of data-deficient taxa. 56 KEY WORDS 57 Cichlidogyrus; co-divergence; Dactylogyridae; host switching; Monogenea; phylogenetic 58 signal, Scutogyrus; support vector machines. 59 ACKNOWLEDGEMENTS 60 We thank J.-F. Agnèse (Institut de Recherche pour le Développement & Université de 61 Montpellier) for taking responsibility for part of the molecular work, and to F. A. M. 62 Volckaert (KU Leuven) and J. Snoeks (Royal Museum for Central Africa & KU Leuven) for 63 their guidance since the early stages of this research. J. Bamps, A. F. Grégoir, L. Makasa, J. 64 K. Zimba (Department of Fisheries), C. Katongo (University of Zambia), T. Veall, O. R. 65 Mangwangwa (Rift Valley Tropicals), V. Nshombo Muderhwa, T. Mulimbwa N’sibula, D. 66 Muzumani Risasi, J. Mbirize Ndalozibwa, V. Lumami Kapepula (Centre de Recherche en 67 Hydrobiologie-Uvira), the Schreyen-Brichard family (Fishes of Burundi), F. Willems 68 (Kasanka Trust), S. Dessein (Botanic Garden Meise), A. Chocha Manda, G. Kapepula 69 Kasembele, E. Abwe, B. K. Manda, C. Mukweze Mulelenu, M. Kasongo Ilunga Kayaba and 70 C. Kalombo Kabalika (Université de Lubumbashi), M. Collet and P. N’Lemvo (Institut bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435939; this version posted March 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Cruz-Laufer AJ, Pariselle A, Jorissen MWP, Muterezi Bukinga F, Al Assadi A, Van Steeberge M, Koblmüller S, Sturmbauer C, Huyse T, Smeets K, Artois T, Vanhove MPM 71 Congolais pour la Conservation de la Nature), D. Kufulu-ne-Kongo (École Muilu Kiawanga), 72 L. Matondo Mbela (Université Kongo), S. Wamuini Lunkayilakio, P. Nguizani Bimbundi, B. 73 Boki Fukiakanda, P. Ntiama Nsiku (Institut Supérieur Pédagogique de Mbanza-Ngungu), P 74 Nzialu Mahinga (Institut National pour l’Etude et la Recherche Agronomiques— 75 Mvuazi/Institut Supérieur d’études agronomiques—Mvuazi) and M Katumbi Chapwe are 76 thanked for administrative, field and lab support, making this study possible. Furthermore, we 77 thank A. Avenant-Oldewage, M. Geraerts, P. C. Igeh, N. Kmentová, M. Mendlová, and C. 78 Rahmouni for providing raw species measurements used for their respective publications. 79 Field work was supported by travel grants V.4.096.10.N.01, K.2.032.08.N.01 and K220314N 80 from the Research Foundation—Flanders (FWO-Vlaanderen) (to MPMV), two travel grants 81 from the King Leopold III Fund for Nature Conservation and Exploration (to MPMV and 82 MVS), FWO-Vlaanderen Research Programme G.0553.10, the University Development 83 Cooperation of the Flemish Interuniversity Council (VLIR-UOS) South Initiative 84 ZRDC2014MP084, the OCA type II project S1_RDC_TILAPIA and the Mbisa Congo 85 project (2013–2018), the latter two being framework agreement projects of the RMCA with 86 the Belgian Development Cooperation. When data collection for this study commenced, 87 MVS and MPMV were PhD fellows, and TH a post-doctoral fellow, of FWO-Vlaanderen. 88 Part of the research leading to results presented in this publication was carried out with 89 infrastructure funded by the European Marine Biological Research Centre (EMBRC) 90 Belgium, Research Foundation – Flanders (FWO) project GOH3817N. MWPJ was supported 91 by the Belgian Federal Science Policy Office (BRAIN-be Pioneer Project 92 (BR/132/PI/TILAPIA), and a BOF Reserve Fellowship from Hasselt University. AJCL is 93 funded by Hasselt University (BOF19OWB02), and MPMV receives support from the 94 Special Research Fund of Hasselt University (BOF20TT06). bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435939; this version posted March 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. EVOLUTION OF A SPECIES-RICH LINEAGE OF PARASITES 95 CONFLICT OF INTEREST 96 The authors declare that they have no conflict of interest. 97 DATA AVAILABILITY STATEMENT 98 The morphological data underlying this article are available in MorphoBank at 99 www.morphobank.org, at https://dx.doi.org/XXXXXXXX. The DNA sequence data are 100 available in the GenBank Nucleotide Database at https://www.ncbi.nlm.nih.gov/genbank, and 101 can be accessed with the accession numbers XXXXXX–XXXXXX. Phylogenetic trees and 102 data matrices are available in TreeBase at https://treebase.org, and can be accessed with 103 accession number
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